I'm using a conda environment with Python version 3.9.7, pip 22.3.1, numpy 1.24.0, gluoncv 0.10.5.post0, mxnet 1.7.0.post2

from gluoncv import data, utils gives the error:

C:\Users\std\anaconda3\envs\myenv\lib\site-packages\mxnet\numpy\utils.py:37: FutureWarning: In the future `np.bool` will be defined as the corresponding NumPy scalar.  (This may have returned Python scalars in past versions
  bool = onp.bool

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[1], line 3
      1 #import cv2
      2 #import os
----> 3 from gluoncv import data, utils #does not work

File ~\anaconda3\envs\myenv\lib\site-packages\gluoncv\__init__.py:16
     14 _found_mxnet = _found_pytorch = False
     15 try:
---> 16     _require_mxnet_version('1.4.0', '2.0.0')
     17     from . import data
     18     from . import model_zoo

File ~\anaconda3\envs\myenv\lib\site-packages\gluoncv\check.py:6, in _require_mxnet_version(mx_version, max_mx_version)
      4 def _require_mxnet_version(mx_version, max_mx_version='2.0.0'):
      5     try:
----> 6         import mxnet as mx
      7         from distutils.version import LooseVersion
      8         if LooseVersion(mx.__version__) < LooseVersion(mx_version) or \
      9             LooseVersion(mx.__version__) >= LooseVersion(max_mx_version):

File ~\anaconda3\envs\myenv\lib\site-packages\mxnet\__init__.py:33
     30 # version info
     31 __version__ = base.__version__
---> 33 from . import contrib
     34 from . import ndarray
     35 from . import ndarray as nd

File ~\anaconda3\envs\myenv\lib\site-packages\mxnet\contrib\__init__.py:30
     27 from . import autograd
     28 from . import tensorboard
---> 30 from . import text
     31 from . import onnx
     32 from . import io

File ~\anaconda3\envs\myenv\lib\site-packages\mxnet\contrib\text\__init__.py:23
     21 from . import utils
     22 from . import vocab
---> 23 from . import embedding

File ~\anaconda3\envs\myenv\lib\site-packages\mxnet\contrib\text\embedding.py:36
     34 from ... import base
     35 from ...util import is_np_array
---> 36 from ... import numpy as _mx_np
     37 from ... import numpy_extension as _mx_npx
     40 def register(embedding_cls):

File ~\anaconda3\envs\myenv\lib\site-packages\mxnet\numpy\__init__.py:23
     21 from . import random
     22 from . import linalg
---> 23 from .multiarray import *  # pylint: disable=wildcard-import
     24 from . import _op
     25 from . import _register

File ~\anaconda3\envs\myenv\lib\site-packages\mxnet\numpy\multiarray.py:47
     45 from ..ndarray.numpy import _internal as _npi
     46 from ..ndarray.ndarray import _storage_type, from_numpy
---> 47 from .utils import _get_np_op
     48 from .fallback import *  # pylint: disable=wildcard-import,unused-wildcard-import
     49 from . import fallback

File ~\anaconda3\envs\myenv\lib\site-packages\mxnet\numpy\utils.py:37
     35 int64 = onp.int64
     36 bool_ = onp.bool_
---> 37 bool = onp.bool
     39 pi = onp.pi
     40 inf = onp.inf

File ~\anaconda3\envs\myenv\lib\site-packages\numpy\__init__.py:284, in __getattr__(attr)
    281     from .testing import Tester
    282     return Tester
--> 284 raise AttributeError("module {!r} has no attribute "
    285                      "{!r}".format(__name__, attr))

AttributeError: module 'numpy' has no attribute 'bool'

CodePudding user response：

This is everywhere in mxnet. It's here in a v2.0.0 release candidate (so, bleeding edge), same as it is in version 1.7.0 that you're using.

What's less clear to me is when this ceased being a thing in numpy. It's not listed in the current scalar types. But, let's jump back to 2019, with version 1.18 of numpy, prior to the release of the version of mxnet that you're using - here. It's not even a type there!

What's most confusing here is that it's in utils.py and you would expect such a module to be blowing up all over the place with this issue as that'll be a core module... but it isn't. I'm not sure what I'm missing here but it might be worth raising on their github.

CodePudding user response：

I got the same error...

Finally, the combination that works for me is:

pip3 install mxnet-mkl==1.6.0 numpy==1.23.1